Easy Data Visualization

Are you looking for simple and useful ways to view vital information about your business in today's markets? Data visualization may be exactly what you're looking for!

Why Is It So Simple?

Data Visualization is the means by which more and more organizations are answering key questions about their businesses. Visualization is literally the presentation of information, such as complex numbers and statistics, in a clear and beautiful way through mediums such as bar and line graphs, or pie charts.

Visualizations have advanced in the post-digital age to become much more dynamic, interactive, and present even more crucial information. In fact, visualizations deliver important stories and messages about one's business operations, trends, performance, and more, in novel ways.

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Shift In Perception

Data visualization enables decision makers and end users alike to sift through important information and numbers quickly, and at that, with much more ease than before when people had to read long spreadsheets and try to understand lots of complex data.

With a visual display of all that complex data, users are empowered with a better understanding of the information - numbers may look different when taken from a spreadsheet and plugged into an attractive and dynamic chart. This shift in perception allows people to perhaps see things they did not previously and therefore become more informed, spot trends, monitor key metrics more closely, and essentially become more efficient decision makers for their business.

Visuals Provide Deeper Insights

Vital business numbers and information coupled with attractiveness and interactivity suddenly bring a simple display of information to an accessible and visible way to become more successful as an enterprise. Visuals provide deeper insights into key metrics, which in turn allow a business to solve their problems more efficiently and quicker - perhaps a moving gradient on a chart allows a CEO to spot a declining trend that he or she would have otherwise NOT noticed on a static spreadsheet. Now, management is making better plans for the organization's future. Plus, it did not take hours of sifting through complicated data.


Visualization in Action

Visuals are fast becoming a highly valued tool for gaining a a true sense of business performance. Previously, a manager might have been able to see how each of his sales people were doing in a quarter. With the power of visuals, that same manager may compare each quarter, each sales person, and further, find the answers to exploratory questions such as "What are the characteristics and trends among our highest paying customers?"

Further, a manager may not remember exactly how much revenue each department made in a quarter, but he or she may very well remember how big or small a visual bubble representing each department was. Visuals lead to improved management.

Data visualization tools can also:

  • Reveal important patterns
  • Help expose a weakness or issue in your business
  • Present and compare large amounts of information at once
  • Allow organizations to dig deeper in a "slice and dice" manner into crucial data.

Why InetSoft's Data Visualization Tool

InetSoft offers data visualization tools that are easy, agile, and robust. InetSoft has pioneered the evolution from static reporting towards interactive visualization of data. InetSoft's StyleBI software is a dynamic visualization tool for any business in need of turning complex data and numbers into a clear and useful presentation of information.

InetSoft uses point and click technology for an environment meant to be driven by the end users' specific business needs. StyleBI also has analytic capabilites that provide deeper insights into any business. Data analysis is sped up by condensing dozens of static reports into a single powerful interactive multi-dimensional analytical view, allowing users to sift through loads of data that otherwise might have taken dozens of clicks through dozens of static reports.

 
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Server-based Data Visualization

  1. InetSoft's data visualizations are server-based, instead of desktop based, which allows for secure and remote connections to various sources of data.
  2. Drag-and-drop features make creating visuals quick and easy. Minimal training required.
  3. Data is secure and appropriate for each individual user providing maximum efficiency for all users.
  4. InetSoft's data visualizations are defined and controlled by users, making it a customizable and focused presentation of information.

What KPIs and Metrics Are Tracked in the Cannabis Cultivation and Processing Industry?

The cannabis cultivation and processing industry tracks various Key Performance Indicators (KPIs) and metrics to monitor performance, ensure quality, and optimize operations. Here are some of the primary KPIs and their definitions, along with their significance in performance management:

  1. Yield per Plant:
    • Definition: The average amount of cannabis produced per plant, usually measured in grams or ounces.
    • Significance: Indicates the productivity of the cultivation process and helps in assessing the effectiveness of growing techniques.
  2. Cost per Gram:
    • Definition: The total cost incurred to produce one gram of cannabis, including cultivation, processing, and overhead expenses.
    • Significance: Critical for pricing strategy and profitability analysis. Lowering this cost can enhance competitive advantage.
  3. Cannabinoid Profile:
    • Definition: The concentration of various cannabinoids (e.g., THC, CBD) in the final product.
    • Significance: Essential for quality control and ensuring that products meet regulatory standards and customer expectations.
  4. Crop Cycle Time:
    • Definition: The total time taken from planting to harvest.
    • Significance: Shorter cycle times can lead to more harvests per year, increasing overall production and profitability.
  5. Harvest Efficiency:
    • Definition: The percentage of usable cannabis harvested from the total biomass.
    • Significance: High efficiency indicates minimal waste and effective harvesting techniques.
  6. Energy Consumption:
    • Definition: The amount of energy used in the cultivation and processing phases, usually measured in kilowatt-hours (kWh).
    • Significance: Important for cost management and sustainability initiatives. Reducing energy consumption can lower operational costs.
  7. Water Usage:
    • Definition: The volume of water used per plant or per gram of cannabis produced.
    • Significance: Critical for resource management and sustainability, especially in regions with water scarcity.
  8. Pesticide and Fertilizer Usage:
    • Definition: The amount of pesticides and fertilizers used during cultivation.
    • Significance: Essential for ensuring product safety, regulatory compliance, and environmental impact.
  9. Labor Costs:
    • Definition: The total labor expenses involved in the cultivation and processing stages.
    • Significance: A major component of overall production costs. Optimizing labor efficiency can improve profitability.
  10. Plant Health Metrics:
    • Definition: Indicators of plant health, such as disease incidence, pest infestation rates, and nutrient deficiencies.
    • Significance: Early detection of health issues can prevent crop losses and ensure high-quality yields.
  11. Processing Yield:
    • Definition: The percentage of raw cannabis that is converted into the final product during processing.
    • Significance: High processing yield indicates efficient extraction and minimal loss of valuable compounds.
  12. Product Consistency:
    • Definition: The uniformity of cannabinoid concentrations and product quality across different batches.
    • Significance: Ensures reliable product quality, which is crucial for brand reputation and customer satisfaction.
  13. Compliance Rate:
    • Definition: The percentage of products that meet regulatory standards and pass quality control checks.
    • Significance: Critical for avoiding legal issues and ensuring market access.
  14. Inventory Turnover:
    • Definition: The rate at which inventory is sold and replaced over a specific period.
    • Significance: High turnover rates indicate strong demand and effective inventory management.
  15. Customer Satisfaction Score (CSAT):
    • Definition: A metric based on customer feedback that indicates their satisfaction with the products.
    • Significance: Reflects the quality of the end product and helps guide improvements in product development and customer service.
  16. Return Rate:
    • Definition: The percentage of products returned by customers.
    • Significance: Low return rates indicate high product quality and customer satisfaction.
  17. Extraction Efficiency:
    • Definition: The percentage of cannabinoids successfully extracted from the raw plant material.
    • Significance: High extraction efficiency maximizes the value obtained from each batch of raw material.
  18. Gross Margin:
    • Definition: The difference between revenue and the cost of goods sold, expressed as a percentage of revenue.
    • Significance: Indicates the overall profitability of the business. Higher margins reflect efficient operations and effective pricing strategies.
  19. Sales Growth Rate:
    • Definition: The percentage increase in sales over a specific period.
    • Significance: Measures the company's growth and market acceptance of its products.
  20. Market Share:
    • Definition: The company's sales as a percentage of the total market sales.
    • Significance: Indicates competitive positioning and overall market performance.
Learn about the top 10 features of embedded business intelligence.

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